There's a shocking fact about AI that nobody tells you: You can catch up to the public AI research frontier in just 2 weeks. Yes, really.
I've built a $150M annual revenue startup over the last 8 years and If I were to start a company today, I’d drop everything and go all-in on AI.
But like many busy software builders, I felt lost—overwhelmed by the noisy, crowded and fast-moving modern AI landscape. And I wasn’t alone.
So I spent my entire holiday diving deep into AI research—reading 30+ papers, watching hours of lectures, analyzing trends, and catching up to the research frontier.
✨ Here’s what I learned:
- You don’t need months (or years) to catch up.
- You don’t need a PhD or decades of ML experience.
- You need fewer than 20 papers and 2 weeks to understand the major breakthroughs shaping AI today.
It's because the technology is extremely nascent and most techniques that came before are no longer relevant:
- ChatGPT is barely 2 years old and Transformers are only 7 years old.
- Most game-changing discoveries happened within the last 4 years, driven by a few breakthrough ideas, scaling laws, and efficient matrix multiplication.
The biggest secret?
Many groundbreaking AI papers with thousands of citations are surprisingly simple and applied, like adding "let's think step by step" to the prompt, or simply asking the LLM over and over again to improve its answer (Self-Refine).
I realized there are tons of founders and builders in the same boat—wanting to dive deeper into AI but unsure where to start.
I've created an essential AI Guide that helped me catch up, in just 2 weeks, to the frontier of public AI research to figure out where the next opportunities and gaps were:
- Curated list of only the most important papers
- Simple explanations of key concepts
- Clear pathway to understanding the frontier of modern AI
It’s perfect for:
- Founders expanding into AI
- Builders wanting to innovate at the frontier of AI
- Investors looking to separate the signal from the noise
👇 Want the full guide?
- Like and Share this post
- Comment "AI Guide"
- I'll send you the complete guide
(ps, I’m also teaming up with @VishalVasishth, co-founder of @obviousvc with @ev (focused on large-scale societal impact companies like Twitter, Medium, Beyond Meat), to host a small meetup to discuss what's working and needs to be solved in the AI stack in SF. Message me if you're interested)
🚨🇺🇦 BREAKING: BLASTS ROCK KYIV AS MISSILE ATTACK TARGETS UKRAINIAN CAPITAL
Multiple explosions were reported in Kyiv early Friday as air defences intercepted missiles.
Fires broke out in the Holosiivskyi, Solomianskyi, Shevchenkivskyi, and Dnipro districts, with debris setting cars ablaze and damaging a construction site.
The Ukrainian Air Force warned of a "ballistic missile from the north" and tracked a MiG-31 fighter jet capable of launching hypersonic missiles.
At least two people were injured and hospitalized.
Smoke was seen rising over parts of the city.
Source: Al Jazeera, @BRICSinfo
It's time to let GPT takeover.
I just ran the script, & it created:
AstroPepeX
65,000,000,000
$APX
0xed4e879087ebD0e8A77d66870012B5e0dffd0Fa4
(Note: There is a require condition that limits transfers >0.5% of the supply)
Enjoy!
This is just someone scraping our public API that shows the association between public wallet addresses and public Twitter usernames.
It’s like saying someone hacked you by looking at your public Twitter feed.
Irresponsible reporting from @TheBlock_ and @vishal4c
@__vbhv__@_buildspace@_nightsweekends i like the second part of the idea of being able to query the data but how does the gathering happen? is it manual or does the user supply the data manually?
@ramirodotme@_nightsweekends@FarzaTV@_buildspace small things can sprout trees! is there any major theme you can play into or build upon? Or maybe try to get a few different guests (friends, coworkers)
@abuhasho @getknowstory @_buildspace love the branding of "AI Assistant" over chatbot or 'tool'
not positive what it would actually do but also not a CPA !